plot.BDA: Plot Beta Drift Analyses
In MeanerReversion/bdrift: Beta Drift Analysis

Description Usage Arguments Details Author(s) Examples

plot.BDA plots results from beta drift analyses.

1 2	## S3 method for class 'BDA' plot(x, single = FALSE, ...)

`x`	an object of class `BDA`.
`single`	logical. If `TRUE`, grouping of plots by parameters is disabled.
`...`	additional parameters.

plot.BDA produces three plots for each parameter of the baseline model of the corresponding BDA function. Unless single is set to TRUE, all three plots for a parameter are displayed in a single plot window.

The first plot, titled "time drift", displays the drift of the parameter across time. In addition to the parameter itself, a 15-knot cubic smooth spline is displayed as a light-blue dashed line. The solid horizontal red line represents the parameter estimate of the baseline model with the 95 confidence interval as a red-shaded area surrounding it. The solid horizontal blue line represents the mean of the drift series.

The second plot, titled "horizon drift", displays the drift of the parameter with respect to the estimation window size. In addition to the parameter itself, a 5-knot cubic smooth spline is displayed as a light-blue dashed line. The blue-shaded area represents the 95 parameters. The solid red vertical line highlights the estimation window size of the baseline model.

The third plot, titled "jackknife", displays the outcome of the jackknife procedure for the baseline model. The light red-shaded and dark red-shaded areas represent p-values <0.5 and <0.75 respectively, as implied by the baseline model.

IMPORTANT NOTE: This package was developed with the GUI of RStudio in mind. The plotting function creates a potentially large number of plots which can be comfortably viewed in RStudio, but require some preparations in the standard R GUI. Start by executing dev.new(), which opens a graphical device. Next, click the "History" tab and then click "Recording" in the drop-down menu. If you run the plotting function now, you can jump through the plots using the PageUp and PageDown key on your keyboard.

Markus Peter Auer <mp.auer@meanerreversion.com>

## Not run: 
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####             Full example                  ####
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results <- BDA(data = FFfactors, spec = (VOO~SP500),
               horizon = 250, doplot = FALSE)
plot(results)

## End(Not run)

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####        CRAN-compatible example            ####
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results <- BDA(data = FFfactors[nrow(FFfactors):(nrow(FFfactors)-300),], 
               spec = (VOO~SP500),horizon = 250, doplot = FALSE)
plot(results)
message("NOTE: This is a shortened example. Reference the manual for more complex examples")